Real-time Job, Company & Salary Extractor via Bright Data & OpenAI

Automates real-time extraction of job descriptions, company details, and salary info from listings using Bright Data MCP for scraping and OpenAI GPT-4o mini for analysis.

n8n
Real-time Job, Company & Salary Extractor via Bright Data & OpenAI

This workflow leverages Bright Data MCP to simulate user behavior and bypass anti-scraping measures on job portals, extracting raw job listing data in structured Markdown format. It then employs OpenAI GPT-4o mini to intelligently parse and refine the content, pulling out precise salary ranges, job requirements, company information, and key details with high accuracy.

Benefits include overcoming challenges of cluttered job pages and inconsistent formatting, saving hours of manual data entry, and enabling scalable, real-time data collection without technical scraping expertise. The output is clean, merged JSON ready for integration into tools like Google Sheets, databases, or webhooks for immediate use.

Ideal for recruiters automating candidate sourcing, HR teams tracking compensation trends, market intelligence analysts monitoring hiring signals, job aggregators enriching listings, and researchers benchmarking salaries across geographies or roles. Extend it to resume matching or multi-platform scraping for broader applications.

$24.99
Last updated August 29, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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